{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GOLPT2QRJQPLZIHOOBSN6C7ZLS","short_pith_number":"pith:GOLPT2QR","canonical_record":{"source":{"id":"2412.02493","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T15:08:03Z","cross_cats_sorted":[],"title_canon_sha256":"98c4b0d6849a2630bf1a56a9a39b5e35b361b0a4191e2e67b0e68c5521ca8129","abstract_canon_sha256":"fd75d3b992f243f45b1b37ce9c445d48894637f59f45263c345de67f764df0dd"},"schema_version":"1.0"},"canonical_sha256":"3396f9ea114c1ebca0ee7064df0bf95cbffc04da74bc032553e0b262b09c3cda","source":{"kind":"arxiv","id":"2412.02493","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02493","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02493v1","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02493","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"pith_short_12","alias_value":"GOLPT2QRJQPL","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"pith_short_16","alias_value":"GOLPT2QRJQPLZIHO","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"pith_short_8","alias_value":"GOLPT2QR","created_at":"2026-07-05T09:43:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GOLPT2QRJQPLZIHOOBSN6C7ZLS","target":"record","payload":{"canonical_record":{"source":{"id":"2412.02493","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T15:08:03Z","cross_cats_sorted":[],"title_canon_sha256":"98c4b0d6849a2630bf1a56a9a39b5e35b361b0a4191e2e67b0e68c5521ca8129","abstract_canon_sha256":"fd75d3b992f243f45b1b37ce9c445d48894637f59f45263c345de67f764df0dd"},"schema_version":"1.0"},"canonical_sha256":"3396f9ea114c1ebca0ee7064df0bf95cbffc04da74bc032553e0b262b09c3cda","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:43:50.701548Z","signature_b64":"FWxsR+ubXDdBL6V9eeP3unfJw5u6x3oCZd2vYuwR0gOgSc6v47XRvx9PuAWgPPYZ24rp3nEV2393L960P/JKDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3396f9ea114c1ebca0ee7064df0bf95cbffc04da74bc032553e0b262b09c3cda","last_reissued_at":"2026-07-05T09:43:50.701038Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:43:50.701038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.02493","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:43:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eaS7hXJTtuteUrc/H91g/HL+wiwfC3xkQW7I+6TCJAOJnYAZRnkB76NWKhoN/UV9ftrEVt3lpueZZinl9YRJDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T15:39:20.838416Z"},"content_sha256":"168a9393bd5f333d16964d9dbdd81103e2599b333221b79d2ca5db54e3ab64e1","schema_version":"1.0","event_id":"sha256:168a9393bd5f333d16964d9dbdd81103e2599b333221b79d2ca5db54e3ab64e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GOLPT2QRJQPLZIHOOBSN6C7ZLS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengxiang Wen, Jian Zhang, Jiarui Meng, Jie Chen, Luyang Tang, Qiankun Gao, Ronggang Wang, Yanmin Wu","submitted_at":"2024-12-03T15:08:03Z","abstract_excerpt":"Reconstructing dynamic scenes with large-scale and complex motions remains a significant challenge. Recent techniques like Neural Radiance Fields and 3D Gaussian Splatting (3DGS) have shown promise but still struggle with scenes involving substantial movement. This paper proposes RelayGS, a novel method based on 3DGS, specifically designed to represent and reconstruct highly dynamic scenes. Our RelayGS learns a complete 4D representation with canonical 3D Gaussians and a compact motion field, consisting of three stages. First, we learn a fundamental 3DGS from all frames, ignoring temporal scen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02493","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.02493/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:43:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KX4AQ/6E8iM/iU2yx0lQ19zU373SuzZFzcIarqzCVT50YlfSp6XF5dibOux7y2Lk0Ft8AJDKDsRYUzgJ8zpoAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T15:39:20.838987Z"},"content_sha256":"c83f66431e80cae1c3368b646c70ddeb4016272a217679835a78e85a55ddded1","schema_version":"1.0","event_id":"sha256:c83f66431e80cae1c3368b646c70ddeb4016272a217679835a78e85a55ddded1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GOLPT2QRJQPLZIHOOBSN6C7ZLS/bundle.json","state_url":"https://pith.science/pith/GOLPT2QRJQPLZIHOOBSN6C7ZLS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GOLPT2QRJQPLZIHOOBSN6C7ZLS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-21T15:39:20Z","links":{"resolver":"https://pith.science/pith/GOLPT2QRJQPLZIHOOBSN6C7ZLS","bundle":"https://pith.science/pith/GOLPT2QRJQPLZIHOOBSN6C7ZLS/bundle.json","state":"https://pith.science/pith/GOLPT2QRJQPLZIHOOBSN6C7ZLS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GOLPT2QRJQPLZIHOOBSN6C7ZLS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GOLPT2QRJQPLZIHOOBSN6C7ZLS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"fd75d3b992f243f45b1b37ce9c445d48894637f59f45263c345de67f764df0dd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T15:08:03Z","title_canon_sha256":"98c4b0d6849a2630bf1a56a9a39b5e35b361b0a4191e2e67b0e68c5521ca8129"},"schema_version":"1.0","source":{"id":"2412.02493","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02493","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02493v1","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02493","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"pith_short_12","alias_value":"GOLPT2QRJQPL","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"pith_short_16","alias_value":"GOLPT2QRJQPLZIHO","created_at":"2026-07-05T09:43:50Z"},{"alias_kind":"pith_short_8","alias_value":"GOLPT2QR","created_at":"2026-07-05T09:43:50Z"}],"graph_snapshots":[{"event_id":"sha256:c83f66431e80cae1c3368b646c70ddeb4016272a217679835a78e85a55ddded1","target":"graph","created_at":"2026-07-05T09:43:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.02493/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reconstructing dynamic scenes with large-scale and complex motions remains a significant challenge. Recent techniques like Neural Radiance Fields and 3D Gaussian Splatting (3DGS) have shown promise but still struggle with scenes involving substantial movement. This paper proposes RelayGS, a novel method based on 3DGS, specifically designed to represent and reconstruct highly dynamic scenes. Our RelayGS learns a complete 4D representation with canonical 3D Gaussians and a compact motion field, consisting of three stages. First, we learn a fundamental 3DGS from all frames, ignoring temporal scen","authors_text":"Chengxiang Wen, Jian Zhang, Jiarui Meng, Jie Chen, Luyang Tang, Qiankun Gao, Ronggang Wang, Yanmin Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T15:08:03Z","title":"RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02493","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:168a9393bd5f333d16964d9dbdd81103e2599b333221b79d2ca5db54e3ab64e1","target":"record","created_at":"2026-07-05T09:43:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"fd75d3b992f243f45b1b37ce9c445d48894637f59f45263c345de67f764df0dd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T15:08:03Z","title_canon_sha256":"98c4b0d6849a2630bf1a56a9a39b5e35b361b0a4191e2e67b0e68c5521ca8129"},"schema_version":"1.0","source":{"id":"2412.02493","kind":"arxiv","version":1}},"canonical_sha256":"3396f9ea114c1ebca0ee7064df0bf95cbffc04da74bc032553e0b262b09c3cda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3396f9ea114c1ebca0ee7064df0bf95cbffc04da74bc032553e0b262b09c3cda","first_computed_at":"2026-07-05T09:43:50.701038Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:43:50.701038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FWxsR+ubXDdBL6V9eeP3unfJw5u6x3oCZd2vYuwR0gOgSc6v47XRvx9PuAWgPPYZ24rp3nEV2393L960P/JKDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:43:50.701548Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.02493","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:168a9393bd5f333d16964d9dbdd81103e2599b333221b79d2ca5db54e3ab64e1","sha256:c83f66431e80cae1c3368b646c70ddeb4016272a217679835a78e85a55ddded1"],"state_sha256":"cf8395cc5741b6d4c097efaa3df82af042c5c50165e080ab43fcae8a42a1aab8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2jOZAodhfQ22+Qri7XFbuWtlwn4udFnOPZkvrGszk6acyrbm+5xfULZbitg4zdVq1Ep8730TujUNhSv+jHwCCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T15:39:20.843136Z","bundle_sha256":"d26dd624b7d368ece8b1fc7559d57e648f46b8441a0545297174ad3284e04d03"}}